class_docstr: Interface for implementing a Trial Scheduler class.
  
  Note to Tune developers: If a new scheduler is added, please update
  `air/_internal/usage.py`.
docstr: Notification for the completion of trial.
  
  This will only be called when the trial is in the RUNNING state and
  either completes naturally or by manual termination.
docstr_tok: ["Notification","for","the","completion","of","trial",".","This","will","only","be","called","when","the","trial","is","in","the","RUNNING","state","and","either","completes","naturally","or","by","manual","termination","."]
code: def on_trial_complete(
      self,
      tune_controller: "TuneController",
      trial: Trial,
      result: Dict,
  ):
      """Notification for the completion of trial.
  
      This will only be called when the trial is in the RUNNING state and
      either completes naturally or by manual termination."""
  
      raise NotImplementedError
  
imports: from typing import Dict, Optional, TYPE_CHECKING
  from ray.air._internal.usage import tag_scheduler
  from ray.tune.result import DEFAULT_METRIC
  from ray.tune.experiment import Trial
  from ray.util.annotations import DeveloperAPI, PublicAPI
label_desc: Use image node_id 8 for calling the TrialScheduler obj's underlying member method code with example usage: obj.on_trial_complete(tune_controller, trial, result) without return types